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System Based on Market Segmentation to Improve the Export of Peruvian Coffee

Received: 30 March 2022    Accepted: 16 April 2022    Published: 26 April 2022
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Abstract

In 2021 Peru exported 250 thousand tons of coffee, ranking seventh among the main coffee exporters in the world compared to the 4,000 thousand tons exported by Brazil, which ranks first. This research project aims to optimize coffee export processes through the development of management software for these exporting companies that allows them to have optimized processes, better control of their activities and make better decisions when exporting. Due to the great variety of types of coffee and the different destination markets, market segmentation was defined as a marketing strategy, which will allow the application of differentiated, efficient and effective commercial strategies. With the implemented software, the companies have been able to improve their export processes, the complexity of the different objectives and scenarios, the software plans quite accurately, as well as the calendar, volumes, and types of coffee to be exported. This helps coffee exporters to have adequate control of their activities and improve export processes, being more efficient and above all, making better decisions based on the information stored; With the use of a management tool, a higher percentage of organized producers is achieved, the export process is considerably improved and there is a greater participation in the international market.

Published in European Business & Management (Volume 8, Issue 2)
DOI 10.11648/j.ebm.20220802.14
Page(s) 55-61
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Export of Peruvian Coffee, Export Management, Information System, Market Segmentation

References
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[10] A. E. Pineda Henao, “La comunicación organizacional en la gestión empresarial: retos y oportunidades en el escenario digital,” Rev. GEON (Gestión, Organ. y Negocios), vol. 7, no. 1, pp. 9–25, 2020, doi: 10.22579/23463910.182.
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[15] R. Saldarriaga, H. Vega, C. Rodriguez, and P. De La Cruz, “Academic approach about E-learning modules from the teacher/student perspective at the National University Mayor de San Marcos, Lima-Perú,” 3C TIC Cuad. Desarro. Apl. a las TIC, vol. 10, no. 3, pp. 121–139, 2021, doi: 10.17993/3ctic.2021.103.121-139.
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[17] C. S. Arbaiza, H. V. Huerta, and C. R. Rodriguez, “Contributions to the Technological Adoption Model for the Peruvian Agro-Export Sector,” Int. J. E-Adoption, vol. 13, no. 1, pp. 1–17, 2021, doi: 10.4018/ijea.2021010101.
[18] H. Vega, S. Moquillasa, C. Rodiguez, F. Escobedo, O. Benito, and J. Gamboa, “Increase of Graduates by the Thesis Development at Public Universities in Peru through Collaborative Motivation,” Turkish J. Comput. Math. Educ., vol. 12, no. 3, pp. 4310–4319, 2021, doi: 10.17762/turcomat.v12i3.1722.
[19] Y. Guzman, A. Tavara, R. Zevallos, and H. Vega, “Implementation of a Bilingual Participative Argumentation Web Platform for collection of Spanish Text and Quechua Speech*,” 3rd Int. Conf. Electr. Commun. Comput. Eng. ICECCE 2021, no. June, pp. 12–13, 2021, doi: 10.1109/ICECCE52056.2021.9514251.
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Cite This Article
  • APA Style

    Jasson Yllescas, Hugo Vega, Percy De La Cruz, Jorge Pantoja, Ernesto Cancho-Rodriguez. (2022). System Based on Market Segmentation to Improve the Export of Peruvian Coffee. European Business & Management, 8(2), 55-61. https://doi.org/10.11648/j.ebm.20220802.14

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    ACS Style

    Jasson Yllescas; Hugo Vega; Percy De La Cruz; Jorge Pantoja; Ernesto Cancho-Rodriguez. System Based on Market Segmentation to Improve the Export of Peruvian Coffee. Eur. Bus. Manag. 2022, 8(2), 55-61. doi: 10.11648/j.ebm.20220802.14

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    AMA Style

    Jasson Yllescas, Hugo Vega, Percy De La Cruz, Jorge Pantoja, Ernesto Cancho-Rodriguez. System Based on Market Segmentation to Improve the Export of Peruvian Coffee. Eur Bus Manag. 2022;8(2):55-61. doi: 10.11648/j.ebm.20220802.14

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  • @article{10.11648/j.ebm.20220802.14,
      author = {Jasson Yllescas and Hugo Vega and Percy De La Cruz and Jorge Pantoja and Ernesto Cancho-Rodriguez},
      title = {System Based on Market Segmentation to Improve the Export of Peruvian Coffee},
      journal = {European Business & Management},
      volume = {8},
      number = {2},
      pages = {55-61},
      doi = {10.11648/j.ebm.20220802.14},
      url = {https://doi.org/10.11648/j.ebm.20220802.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ebm.20220802.14},
      abstract = {In 2021 Peru exported 250 thousand tons of coffee, ranking seventh among the main coffee exporters in the world compared to the 4,000 thousand tons exported by Brazil, which ranks first. This research project aims to optimize coffee export processes through the development of management software for these exporting companies that allows them to have optimized processes, better control of their activities and make better decisions when exporting. Due to the great variety of types of coffee and the different destination markets, market segmentation was defined as a marketing strategy, which will allow the application of differentiated, efficient and effective commercial strategies. With the implemented software, the companies have been able to improve their export processes, the complexity of the different objectives and scenarios, the software plans quite accurately, as well as the calendar, volumes, and types of coffee to be exported. This helps coffee exporters to have adequate control of their activities and improve export processes, being more efficient and above all, making better decisions based on the information stored; With the use of a management tool, a higher percentage of organized producers is achieved, the export process is considerably improved and there is a greater participation in the international market.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - System Based on Market Segmentation to Improve the Export of Peruvian Coffee
    AU  - Jasson Yllescas
    AU  - Hugo Vega
    AU  - Percy De La Cruz
    AU  - Jorge Pantoja
    AU  - Ernesto Cancho-Rodriguez
    Y1  - 2022/04/26
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ebm.20220802.14
    DO  - 10.11648/j.ebm.20220802.14
    T2  - European Business & Management
    JF  - European Business & Management
    JO  - European Business & Management
    SP  - 55
    EP  - 61
    PB  - Science Publishing Group
    SN  - 2575-5811
    UR  - https://doi.org/10.11648/j.ebm.20220802.14
    AB  - In 2021 Peru exported 250 thousand tons of coffee, ranking seventh among the main coffee exporters in the world compared to the 4,000 thousand tons exported by Brazil, which ranks first. This research project aims to optimize coffee export processes through the development of management software for these exporting companies that allows them to have optimized processes, better control of their activities and make better decisions when exporting. Due to the great variety of types of coffee and the different destination markets, market segmentation was defined as a marketing strategy, which will allow the application of differentiated, efficient and effective commercial strategies. With the implemented software, the companies have been able to improve their export processes, the complexity of the different objectives and scenarios, the software plans quite accurately, as well as the calendar, volumes, and types of coffee to be exported. This helps coffee exporters to have adequate control of their activities and improve export processes, being more efficient and above all, making better decisions based on the information stored; With the use of a management tool, a higher percentage of organized producers is achieved, the export process is considerably improved and there is a greater participation in the international market.
    VL  - 8
    IS  - 2
    ER  - 

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Author Information
  • Department of Computer Science, Universidad Nacional Mayor de San Marcos, Lima, Peru

  • Department of Computer Science, Universidad Nacional Mayor de San Marcos, Lima, Peru

  • Department of Computer Science, Universidad Nacional Mayor de San Marcos, Lima, Peru

  • Department of Computer Science, Universidad Nacional Mayor de San Marcos, Lima, Peru

  • Department of Computer Science, Universidad Nacional Mayor de San Marcos, Lima, Peru

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